Technical analysis without the mysticism

Technical analysis is the study of price and volume history. Used well, it is a disciplined way to describe what the market is doing right now. Used badly, it becomes pattern-spotting in noise. This guide shows you the useful parts.

What technical analysis is for

Prices reflect the combined actions of everyone in a market. Technical analysis looks at that record to answer practical questions: Is this asset trending up, down or sideways? Is the move speeding up or fading? Are more people participating, or fewer? Is the price near a level where it has stalled before?

Those are descriptive questions, and descriptive answers are genuinely useful. They help you avoid fighting a strong trend, notice when something has changed, and set levels where you would reconsider a view. What technical analysis does not do reliably is predict exact turning points. Be suspicious of anyone who says otherwise.

Trend: moving averages

A simple moving average (SMA) is the average closing price over the last N periods. It smooths daily noise so the underlying direction is easier to see.

SMA_N(t) = (P_t + P_{t-1} + ... + P_{t-N+1}) / N

Two horizons are standard:

• 50-day SMA: the medium-term trend.
• 200-day SMA: the long-term trend. Price above a rising 200-day average is the most widely used definition of an uptrend.

The slope of an average matters as much as its level. A price above a flat or falling 50-day SMA is a weaker signal than one above a rising average. DUKOIN’s Trend component combines exactly these three ideas: price relative to the 50-day SMA, price relative to the 200-day SMA, and the change in the 50-day SMA over the last 20 days. See Research Score methodology.

When the 50-day crosses above the 200-day, traders call it a “golden cross”; the reverse is a “death cross”. These crossings are slow by design and often arrive after much of a move has happened. Treat them as confirmation of a regime, not a timing tool.

An exponential moving average (EMA) gives more weight to recent prices, reacting faster but also producing more false turns. Neither is better in general; they trade responsiveness for stability.

Momentum

Momentum asks how strongly price has moved over a recent window. The simplest measure is the return over 7 or 30 days. In crypto it often helps to measure momentum relative to bitcoin: if BTC rose 10% and an altcoin rose 12%, the altcoin’s relative momentum is only modestly positive.

Popular momentum oscillators include:

• RSI (Relative Strength Index): compares the size of recent gains to recent losses on a 0 to 100 scale, usually over 14 periods with Wilder’s smoothing. Readings above 70 are called overbought and below 30 oversold, but in strong trends RSI can stay at extremes for weeks.
• MACD: the difference between the 12-period and 26-period EMAs, with a 9-period EMA of that difference as a signal line. It shows whether short-term momentum is pulling away from or converging toward the longer trend.

Our Market indicators guide covers the exact formulas.

Volume: who is showing up

Volume measures participation. A breakout on rising volume suggests broad interest; a rally on shrinking volume suggests fewer buyers are doing the lifting. A sudden volume spike during a sharp fall can mark forced selling, which is why DUKOIN’s Dip Detector flags volume anomalies alongside price drops.

Remember that crypto volume figures can include wash trading on lower-quality venues. Compare volume against an asset’s own history rather than across very different assets.

Support and resistance

Support is a price zone where buying has previously stopped a decline; resistance is a zone where selling has previously capped a rally. They form partly because many traders watch the same levels, round numbers and prior highs.

Treat them as zones, not lines. Prices frequently overshoot by a few percent, and once a level breaks decisively it often flips role: old resistance becomes new support. Levels are most useful for planning, for example deciding in advance where your thesis would be proven wrong.

Chart patterns: proceed with caution

Head and shoulders, triangles, flags and wedges are popular because they are memorable. The problem is that they are easy to see after the fact and hard to define objectively before it. If two analysts can draw different patterns on the same chart, the pattern is not a testable rule. Prefer signals that can be written as a formula and checked against history.

Testing before trusting

The honest way to use any technical rule is to define it precisely, apply it to past data without peeking ahead, and compare it with a simple baseline. Most simple rules, tested this way, show small and unstable edges once trading costs are included. That is the same standard DUKOIN applies to its own models: the Model performance page compares every forecast against a naive baseline, and we do not show a directional probability unless a model has earned it.

A simple checklist

1. Is price above or below its 50-day and 200-day averages, and are they rising or falling?
2. How has it performed relative to BTC over 7 and 30 days?
3. Is volume confirming the move or fading?
4. Where are the nearest support and resistance zones, and where would your view be wrong?
5. How volatile is it, and does your position size reflect that?

DUKOIN’s Opportunity Radar runs the first three checks across hundreds of assets at once, so you can spend your time on the last two.